Assessing Land Use and Cover Changes arising from the 2022 water crisis in Southeast China: A comparative analysis of Remote Sensing Imagery classifications and Machine Learning algorithms
Eduardo Soares Nascimento,Fernanda Sayuri Yoshino Watanabe,Maria de Lourdes Bueno Trindade Galo,and Erivaldo Antonio da Silva
Postgraduate Program in Cartographic Sciences (PPGCC), Department of Cartography, School of Technology and Sciences São Paulo State University (FCT-UNESP), 19060-900 Presidente Prudente, São Paulo, Brazil
Fernanda Sayuri Yoshino Watanabe
Department of Cartography, School of Technology and Sciences, São Paulo State University (UNESP), São Paulo 19060-900, Brazil
Maria de Lourdes Bueno Trindade Galo
Department of Cartography, School of Technology and Sciences, São Paulo State University (UNESP), São Paulo 19060-900, Brazil
Erivaldo Antonio da Silva
Department of Cartography, School of Technology and Sciences, São Paulo State University (UNESP), São Paulo 19060-900, Brazil
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